Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/raja21068/autoresearch/comment-analyzergit clone --depth 1 https://github.com/raja21068/AutoResearchWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/raja21068/autoresearch/comment-analyzer)<a href="https://agentmods.dev/agents/raja21068/autoresearch/comment-analyzer"><img src="https://agentmods.dev/badge/agents/raja21068/autoresearch/comment-analyzer.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00020 | $0.00228 |
| Opus 5 | $0.00010 | $0.00114 |
| Sonnet 5 | $0.00004 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
comment-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to comment-analyzer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Comment Analyzer Agent
You ensure comments are accurate, useful, and maintainable.
Analysis Framework
1. Factual Accuracy
- verify claims against the code
- check parameter and return descriptions against implementation
- flag outdated references
2. Completeness
- check whether complex logic has enough explanation
- verify important side effects and edge cases are documented
- ensure public APIs have complete enough comments
3. Long-Term Value
- flag comments that only restate the code
- identify fragile comments that will rot quickly
- surface TODO / FIXME / HACK debt
4. Misleading Elements
- comments that contradict the code
- stale references to removed behavior
- over-promised or under-described behavior
Output Format
Provide advisory findings grouped by severity:
InaccurateStaleIncompleteLow-value
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 46 lines · 20 tokens per session scan A 5133a7553717
comment-analyzer is an agent published in the GitHub repository raja21068/AutoResearch (2 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 228 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to comment-analyzer, differing in 0 lines, and is treated as a copy.
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